Distributed control algorithm for vehicle coordination at traffic intersections

J Shi, Y Zheng, Y Jiang, M Zanon… - 2018 European …, 2018 - ieeexplore.ieee.org
This paper proposes a distributed closed-loop control algorithm for optimal coordination of
autonomous vehicles at traffic intersections. The main contribution of the paper is a …

Autonomous vehicles: From vehicular control to traffic contro

ML Delle Monache, J Sprinkle… - 2019 IEEE 58th …, 2019 - ieeexplore.ieee.org
This article provides an overview of the converging areas of control for autonomous
vehicles, and control of the larger transportation system in which a small number of …

Decentralized optimal merging control for connected and automated vehicles with optimal dynamic resequencing

W Xiao, CG Cassandras - 2020 American Control Conference …, 2020 - ieeexplore.ieee.org
A complete solution to a decentralized optimal merging problem for Connected and
Automated Vehicles (CAVs) was provided in earlier work, based on a First In First Out (FIFO) …

Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran - Transportation Research Part …, 2021 - Elsevier
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …

Saving energy with delayed information in connected vehicle systems

M Shen, TG Molnár, CR He, AH Bell… - 2021 American …, 2021 - ieeexplore.ieee.org
In this paper, we design an energy-optimal longitudinal controller for connected automated
trucks driving in mixed traffic with lean penetration of connected vehicles. The controller …

Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control

C Chen, J Wang, Q Xu, J Wang, K Li - Transportation research part C …, 2021 - Elsevier
The emergence of Connected and Automated Vehicles (CAVs) promises better traffic
mobility for future transportation systems. Existing research mostly focused on fully …

A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon

H Shi, D Chen, N Zheng, X Wang, Y Zhou… - … Research Part C …, 2023 - Elsevier
This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …

Synchronous and asynchronous parallel computation for large-scale optimal control of connected vehicles

SE Li, Z Wang, Y Zheng, Q Sun, J Gao, F Ma… - … research part C: emerging …, 2020 - Elsevier
Connected vehicles is an important intelligent transportation system to improve the traffic
performance. This paper proposes two parallel computation algorithms to solve a large …

Conditions for state and control constraint activation in coordination of connected and automated vehicles

AMI Mahbub, AA Malikopoulos - 2020 American Control …, 2020 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce
pollution, energy consumption, and travel delays. In earlier work, we addressed the optimal …

Optimizing the trade-off between fuel consumption and travel time in an unsignalized autonomous intersection crossing

A Hadjigeorgiou, S Timotheou - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Connected and autonomous vehicles (CAVs) have the potential to disrupt road
transportation. CAVs provide several attractive features, such as seamless connectivity and …